update benchmarking guide with latest results with vllm v1

Author: kaushikmitr

site-src/performance/benchmark/example-bar-chart.png

@@ -93,6 +93,6 @@ This guide shows how to run the jupyter notebook using vscode.
     ```
 
 1. Open the notebook `./tools/benchmark/benchmark.ipynb`, and run each cell. At the end you should
-    see a bar chart like below:
+    see a bar chart like below where **"ie"** represents inference extension. This chart is generated using this benchmarking tool with 10 vLLM (v1) model servers (H100 80 GB) and the ShareGPT dataset.
 
     ![alt text](example-bar-chart.png)